[All remote jobs](https://jobicy.com/jobs.md)[![Paddle logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/08/28ca3645-221.png)](https://jobicy.com/company/paddle.md)[Paddle](https://jobicy.com/company/paddle.md) # Senior Analytics Engineer Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/paddle.md)ShareRemote from[UK](https://jobicy.com/job-region/uk.md), [Portugal](https://jobicy.com/job-region/portugal.md), [Ireland](https://jobicy.com/job-region/ireland.md)SalaryUndisclosedDepartment[Data Science & Analytics](https://jobicy.com/categories/data-science.md)EmploymentFull TimeExperienceSeniorPublished15 Oct 2026Apply before14 Nov 2026Listing views50Application actions2Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. Paddle is seeking a Senior Analytics Engineer to build scalable data models and trusted analytics infrastructure for business stakeholders. The role centers on Snowflake, dbt, advanced SQL, BI enablement, data ingestion, and activation into operational tools. It also requires strong data governance practices, including documentation, quality testing, metadata management, and sensitive-data masking. The successful candidate will partner across the business, lead BI adoption training, and provide informal mentorship to junior analytics engineers. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 4/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 4/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior technical role requiring deep hands-on capability in SQL, dbt, Snowflake, BI delivery, and data governance. The role also carries cross-functional influence through stakeholder partnership, training, and mentorship responsibilities. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$145,000US market range (per year)$120k–$175k0$192.50k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer compensation is disclosed. The yearly cadence and USD market estimate are inferred from the senior-level, full-time analytics engineering scope and typical US market conventions for comparable roles. ## Core skills Skills and capabilities most closely associated with this opportunity. [Advanced SQL](https://jobicy.com/jobs?search_keywords=Advanced%20SQL.md)[dbt](https://jobicy.com/jobs?search_keywords=dbt.md)[Snowflake](https://jobicy.com/jobs?search_keywords=Snowflake.md)[Data modeling](https://jobicy.com/jobs?search_keywords=Data%20modeling.md)[Analytics engineering](https://jobicy.com/jobs?search_keywords=Analytics%20engineering.md)[Business intelligence](https://jobicy.com/jobs?search_keywords=Business%20intelligence.md)[Tableau](https://jobicy.com/jobs?search_keywords=Tableau.md)[Looker](https://jobicy.com/jobs?search_keywords=Looker.md)[Power BI](https://jobicy.com/jobs?search_keywords=Power%20BI.md)[Data quality management](https://jobicy.com/jobs?search_keywords=Data%20quality%20management.md)[Data documentation](https://jobicy.com/jobs?search_keywords=Data%20documentation.md)[Metadata management](https://jobicy.com/jobs?search_keywords=Metadata%20management.md)[Data masking](https://jobicy.com/jobs?search_keywords=Data%20masking.md)[Fivetran](https://jobicy.com/jobs?search_keywords=Fivetran.md)[Stakeholder management](https://jobicy.com/jobs?search_keywords=Stakeholder%20management.md) Sample interview questionsHow have you designed a scalable dbt data model for self-service analytics?I begin by aligning with stakeholder definitions and identifying the required business grain. I model raw, staging, intermediate, and curated layers, use reusable macros and tests, document key fields, and publish governed marts that BI users can access safely. How would you investigate and address a recurring data-quality issue in Snowflake? I would quantify the issue, identify the affected source and downstream models, and add monitoring or dbt tests to make failures visible. I would then work with the relevant process owner to resolve the root cause, document the decision, and validate that downstream reporting is corrected. What is your approach to enabling business users through BI tools without sacrificing governance? I create curated semantic datasets with clear definitions, ownership, documentation, and appropriate access controls. I pair this with training on trusted metrics and dashboards so users can answer common questions independently while escalation paths remain clear for complex analysis. Describe how you would choose between a no-code ingestion tool and a custom data pipeline. I would evaluate source availability, connector reliability, volume, latency, transformation needs, cost, security, and maintainability. For standard SaaS sources, a managed tool such as Fivetran is often efficient; for specialized logic or strict performance requirements, a custom pipeline may be more appropriate. How do you mentor junior analytics engineers while maintaining delivery momentum? I use regular pairing, targeted code reviews, shared documentation, and progressively challenging ownership opportunities. I explain the reasoning behind modeling and quality decisions, set clear expectations, and create feedback loops that help the engineer grow while keeping work aligned to team priorities. Opportunity details ## About this role. What do we do? Paddle offers digital product companies a completely different approach to their payment infrastructure. Instead of assembling and maintaining a complex stack of payments-related apps and services, we’re a Merchant of Record for our customers. That means we take away 100% of the pain of payment fragmentation. It’s faster, safer, cheaper, and, above all, way better. We’re backed by investors including KKR, FTV Capital, Kindred, Notion, and 83North and serve over 10,000 software sellers in 245 territories globally. The Role: We are seeking a Senior Analytics Engineer to drive significant business impact by shaping our data infrastructure, developing robust data models, and promoting best practices in analytics engineering (e.g., data quality, documentation, and scalable data architectures). You will collaborate closely with business stakeholders to identify and deliver high-value data solutions and provide informal mentorship to junior team members, fostering their growth and enhancing team capabilities. What you’ll do: * Create and maintain complex, scalable data models in Snowflake using dbt. * Expose datasets effectively in BI tooling to enable robust self-service analytics. * Perform simple data ingestion tasks using no-code tools and ensure streamlined data flows. * Add comprehensive metadata to datasets, including documentation, data quality checks, and sensitive data masking. * Activate data by pushing it from Snowflake into other operational tools. * Proactively identify and raise data quality issues to the respective process owners for resolution. * Lead training sessions and initiatives to drive adoption and effective use of BI tools across the organization. * Mentor junior analytics engineers, fostering knowledge-sharing and professional growth. We’d love to hear from you if you: * Extensive experience in analytics engineering or related data roles, with demonstrated expertise in advanced SQL, dbt, and Snowflake. * Proficient in using BI tools (e.g. Tableau, Looker, PowerBI, Snowsight) to deliver clear, actionable insights for business stakeholders. * Skilled in performing data ingestion and activation using no-code tools (e.g. Fivetran, Stitch), ensuring efficient data integration into operational systems. * Knowledgeable in managing metadata, documentation, data quality checks, and sensitive data masking effectively. * Effective at collaborating closely with diverse stakeholders, understanding their data needs, and delivering impactful solutions. * Experienced in conducting training sessions and providing informal mentorship to junior analytics team members, fostering a collaborative and knowledge-sharing environment. Everyone is welcome at Paddle At Paddle, we’re committed to removing invisible barriers, both for our customers and within our own teams. We recognise and celebrate that every Paddler is unique and we welcome every individual perspective. As an inclusive employer, we don’t care if, or where, you studied, what you look like or where you’re from. We’re more interested in your craft, curiosity, passion for learning and what you’ll add to our culture. We encourage you to apply even if you don’t match every part of the job ad, especially if you’re part of an underrepresented group. Please let us know if there’s anything we can do to better support you through the application process and in the workplace. We will do everything we can to support any accommodations needed. We’re committed to building a diverse team where everyone feels safe to be their authentic self. Let’s grow together. Why you’ll love working at Paddle We’re a diverse, growing group of Paddlers who pride ourselves on our transparent, collaborative and respectful culture. We live and breathe our values, which are: * Paddle Together – “None of us, is as smart as all of us” * Paddle Simply – “Simple can be harder than complex: you have to get your thinking clean to make it simple” * Paddle for others – “We can realise our wildest dreams, so long as we help enough other people to realise theirs” We offer a full suite of benefits, including attractive salaries, stock options, unlimited holidays, enhanced parental leave, retirement plans, private healthcare and well-being initiatives. We invest in learning and will help you with your personal development via constant exposure to new challenges, an annual learning fund, and regular internal and external training. Connecting at Paddle We’re a ‘digital-first’ company, which means our Paddlers always have the freedom to choose where, when and how they work within our hub locations. We recognize that where our Paddlers do their best work is unique to them and we provide trust and autonomy for everyone to work in a way which fits them best. We also value the power of connection and have invested in global hubs which help local communities flourish and bring us together for focused collaboration. Our Paddle hubs: * In Europe: UK (London headquarters), Portugal (Lisbon hub), Netherlands and Ireland (Dublin hub) * In North America: Austin, TX (USA) and Toronto (Canada) Our hub philosophy creates an engaging experience for all Paddlers, wherever, whenever and however we choose to work. To support this, we focus hiring within our hubs and will always openly share the available locations for each open position on our job description. Show more [Apply now >](https://jobicy.com/jobs/155397-senior-analytics-engineer-3.md) > Annual salary information is not provided for this position. 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